very industry today is awash in a treasure trove of valuable and useful data, and self-storage is no different. This data is found across software platforms in use every day, such as CRMs, property management systems, facilities operations systems, and market analysis tools. The challenge, and opportunity, is knowing where to find that data and how to best use it.

Data and smart storage can help operators lower costs, increase revenue, and keep pace with changing tenant demands, but it’s about more than just innovation, says Reza Raji, senior vice president of Smart Spaces IoT at Vantiva. “Smart technology is about survival in a competitive market,” he says. “Facilities that embrace data and IoT (Internet of Things) have the agility to adapt as tenant expectations and market conditions shift, and they gain a crucial differentiator from their competitors.”

All data isn’t created equal. For self-storage owners and operators, the most valuable data works toward achieving business goals like making informed decisions, optimizing pricing, managing inventory, and identifying opportunities for improvement. To meet these objectives, self-storage owners and operators need to tap into data tied to occupancy trends, lead and rental activity, revenue per unit, customer demographics, pricing and promotions data, payment patterns, and delinquencies, according to Gandhar Rane, product manager of reports and business intelligence at Tenant Inc.

Along the same lines, Jacob Pandl, founder and CEO of nodaFi, drills down into four areas of data focus: occupancy and rental rate information, customer behavior patterns, market analysis data, and maintenance and operational efficiency data.

It’s important to understand different types of data are tied to different objectives. For example, security data uncovers locations or times of day that need additional oversight, energy data points to predictive maintenance, and environmental data helps prevent damage and cuts down on repair and insurance costs.

“However, all this disparate data works best in unison, allowing you to see otherwise obscure patterns,” says Raji. “You might notice, for instance, that security incident logs coincide with specific access logs, or discover concurrent energy spikes and leak detection indicating potential damage to device power supplies.”

Looking at data in broad categories, Rane breaks down how to meet business objectives depending on data type:

• Operational Data (e.g., occupancy trends, unit utilization) helps in adjusting staffing levels, identifying high-demand unit types, and optimizing pricing to maintain occupancy. It can also be used to streamline inventory management and support resource allocation.
• Customer Data (e.g., demographics, behavior patterns) allows businesses to deliver personalized experiences by understanding customer preferences and behaviors. This data enables targeted marketing, loyalty programs, and customer-specific promotions to drive retention and increase lifetime value.
• Financial Data (e.g., revenue per unit, payment patterns) highlights the most profitable units or customer segments, informing pricing adjustments, unit availability, and expansion strategies. This data also helps with budgeting and forecasting.
• Lead and Marketing Data (e.g., lead sources, conversion rates) provides insights into which marketing channels are most effective, supporting budget allocation and helping tailor messaging to drive higher conversions. Seasonal lead data, for example, can help time promotions and adjust campaigns to align with peak periods.
• Pricing and Promotional Data (e.g., discount effectiveness, competitive pricing insights) informs dynamic pricing strategies that align with market demand, maximizing revenue by adjusting prices in response to occupancy or seasonality.

Data-driven insights are “game-changers” for marketing. “By analyzing usage data, operators can pinpoint which site features, like in-unit monitoring, climate control, or 24/7 access, are popular, enabling targeted promotions,” says Raji. “For example, if you notice that certain customer demographics log onto your in-unit monitoring app more frequently, you can create tailored digital marketing campaigns promoting that feature to the renters that value it most.”

What business function does data impact the most? According to Rane, the answer is operational efficiency. “Data-driven insights enable better decision-making on staffing, pricing, and resource allocation,” he says. “For example, analyzing occupancy trends might show that Sunday has the lowest rental activity, allowing operators to reduce staffing on that day, lowering operational costs. These data-informed adjustments streamline processes and increase profitability, creating a significant competitive edge.”

The takeaway is data provides views into each business function that provides insights and leads to efficiencies and optimizations that translate to saving time and money. The trick is turning that raw data into usable information and actionable insights.

If you’re just getting into turning valuable data into actionable information, Pandl says starting small is key.

“Begin by choosing one or two objectives, like optimizing occupancy or reducing operational costs, and focus on collecting data related to that goal,” says Pandl. “For example, tracking high-maintenance assets or monitoring revenue by unit size for a quarter can reveal actionable insights. Building a dashboard that highlights key metrics will make it easy to spot trends and identify areas for improvement without getting overwhelmed.”

Rane advises ensuring your data is centralized in a structured format as a first step. With centralized data, it’s easier to use business intelligence tools to identify trends.

“Start simple,” says Rane. “Look at metrics like occupancy and rental activity to gain insights. As you become more comfortable, you can dive deeper into custom reporting.”

While it’s possible to start data analysis on your own, particularly for basic metrics like occupancy or pricing, getting in-depth insight, such as predictive maintenance or advanced market analysis, probably requires input from data experts or a robust software platform, states Pandl, who adds that “Specialists can help set up predictive models, integrate data across systems, and recommend optimizations to maximize both efficiency and asset longevity.”

Rane seconds the value of software solutions for taming data. He points out that typically BI engineers and data analysts are required to fully leverage data and that most self-storage operators don’t have the capacity or resources to analyze and visualize data. The solution is a software platform with dashboards and tools making powerful data insights accessible to anyone without the need for a specialized data team.

For a real-world example of turning data into value, Pandl cites a nodaFi customer who streamlined maintenance operations across multiple sites with a focus on preventative maintenance for high-cost assets like gates and HVAC systems. Using this data-first approach to maintenance led to an 18 percent reduction in annual maintenance costs and extended asset life.

Illustrating data’s impact on operational efficiency, Rane shares a case study where a self-storage company analyzed rental activity by day of the week and found weekends had twice as many move-ins compared to weekdays. Using this insight, the company adjusted its staffing levels accordingly by reducing the workforce during quieter weekdays and increasing it on Saturdays and Sundays. This data-driven approach reduced labor costs by 15 percent and ensured customers experienced shorter wait times and improved service during peak times.

Data is valuable, but it must be tapped to be effective, and different types of data can provide a dramatic impact across many business functions and objectives. But, maybe most importantly, you need to own your data.

“One key point is the importance of owning your data,” says Rane. “By having full access and control over your data, you can generate custom insights that go beyond what standard reports offer. Additionally, leveraging business intelligence tools … allows you to democratize data access, enabling team members across your organization to make informed decisions.”

Every self-storage business is rolling in data created in basic business platforms from operations systems to CRM software, and this data can be used to do everything from lower maintenance costs to define the next marketing campaign.

The data is there; it’s up to you to tap into that gold mine.